Massimo Federico
- Oncology
- Pathology and Forensic Medicine top 10%
- Neurology top 10%
- Genetics top 10%
- Cancer Research
- Co-authors
- V. SilingardiLuigi M.E. GrimaldiRoberto SabbatiniPaolo G. GobbiEdoardo AscariEva BuiattiStefano FerrettiGiovanni Ricevuti
- Topics
- Lymphoma Diagnosis and Treatment (14 papers)Chronic Lymphocytic Leukemia Research (8 papers)Viral-associated cancers and disorders (7 papers)
In The Last Decade
Massimo Federico
24 papers receiving 365 citations
Peers
Comparison fields: 5 of 50
- Oncology 186
- Pathology and Forensic Medicine 181
- Neurology 95
- Genetics 80
- Cancer Research 79
Countries citing papers authored by Massimo Federico
This map shows the geographic impact of Massimo Federico's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Massimo Federico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Federico more than expected).
Fields of papers citing papers by Massimo Federico
This network shows the impact of papers produced by Massimo Federico. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Massimo Federico. The network helps show where Massimo Federico may publish in the future.
Co-authorship network of co-authors of Massimo Federico
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Federico. A scholar is included among the top collaborators of Massimo Federico based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Federico. Massimo Federico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 23 | |
| 8 | 22 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 20 | |
| 12 | 32 | |
| 13 | 22 | |
| 14 | 14 | |
| 15 | High-dose therapy and autologous stem cell transplantation vs conventional therapy for patients with advanced Hodgkin's disease responding to first-line therapy. Analysis of clinical characteristics of 51 patients enrolled in the HD01 protocol | 4 |
| 16 | 29 | |
| 17 | A randomized, double-blind, cross-over study comparing a levosulpiride-based and a metoclopramide-based combination in the prevention of ProMECE-CytaBOM-induced emesis. | 6 |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 9 |
About Massimo Federico
Massimo Federico is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 26 papers that have together received 377 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Viral-associated cancers and disorders (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (181 citations), Genetics (80 citations) and Oncology (186 citations). Massimo Federico has collaborated with scholars based in Italy, France and Croatia. Frequent co-authors include V. Silingardi, Luigi M.E. Grimaldi, Roberto Sabbatini, Paolo G. Gobbi, Edoardo Ascari, Eva Buiatti, Stefano Ferretti, Giovanni Ricevuti, Mario Luppi and A Crema. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.